small-mlm-rotten_tomatoes
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4233
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.944 | 0.47 | 500 | 3.7349 |
| 3.8232 | 0.94 | 1000 | 3.5014 |
| 3.6092 | 1.41 | 1500 | 3.4616 |
| 3.6009 | 1.87 | 2000 | 3.5919 |
| 3.5219 | 2.34 | 2500 | 3.4356 |
| 3.4291 | 2.81 | 3000 | 3.4680 |
| 3.3769 | 3.28 | 3500 | 3.4817 |
| 3.3216 | 3.75 | 4000 | 3.4055 |
| 3.3562 | 4.22 | 4500 | 3.4558 |
| 3.2755 | 4.69 | 5000 | 3.4803 |
| 3.2044 | 5.15 | 5500 | 3.3968 |
| 3.2438 | 5.62 | 6000 | 3.4400 |
| 3.2322 | 6.09 | 6500 | 3.4033 |
| 3.0966 | 6.56 | 7000 | 3.3795 |
| 3.1239 | 7.03 | 7500 | 3.4509 |
| 3.0585 | 7.5 | 8000 | 3.3826 |
| 2.9747 | 7.97 | 8500 | 3.4233 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2